This bleeding effect, agnostic to the sensor accuracy, occurs in all LiDAR-Camera setups, including the depth maps made available by the KITTI completion dataset [1]}, thus affecting the methods competing over the completion benchmark itself. Therefore, we introduce a carefully designed deep learning framework to deal with this issue, only using the RGB image coupled with the LiDAR depth.
